Based on our record, Dgraph should be more popular than nebula graph. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support. - Source: dev.to / 3 months ago
DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / over 1 year ago
How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic? Source: over 1 year ago
Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes... - Source: dev.to / over 1 year ago
Looking forward comparison with Dgraph ( https://dgraph.io/ ) — I mentioned Dgraph in other, older, posts. I'm not a shill, just a Dgraph user who's looking for alternative. - Source: Hacker News / over 1 year ago
A NoSQL graph database is a type of non-relational, distributed database which employs a graph model. NoSQL stands for “Not only SQL” and refers to a new breed of databases that differ from traditional relational databases in their data model and performance. Graph databases are especially useful for data associated with relationships—everything from friendships on social netwo#rks to equipment supply chains or... - Source: dev.to / over 1 year ago
An open source graph database is always the best place to start as they come with a supportive community that ultimately creates the perfect ecosystem. - Source: dev.to / over 1 year ago
When we first came across NebulaGraph, because the ecology was not perfect, and only some businesses migrated to Nebula, we used to import NebulaGraph data, whether full or incremental, by pushing Hive tables to Kafka and consuming Kafka to write NebulaGraph in batch. Later, as more and more data and businesses switched to NebulaGraph, the problem of importing data efficiency became more and more serious. The... - Source: dev.to / over 1 year ago
NebulaGraph, a leading open source graph database, announced it raised tens of millions of US dollars in Series A funding. Investors in the round are led by Jeneration Capital, with participation from the previous investors - Matrix Partner China, Redpoint China Ventures, and Source Code Capital. China Renaissance served as the exclusive financial advisor in this financing round. - Source: dev.to / over 1 year ago
One option is NebulaGraph if your looking for low latency, scalability, and HA. Source: over 2 years ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
RedisGraph - A high-performance graph database implemented as a Redis module.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.
NetworkX - NetworkX is a Python language software package for the creation, manipulation, and study of the...
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.